Stan Lubanski is a graduate student in the Quantitative Methods area. In 2013, he earned a BS in Psychology at Arizona State University. Now an advisee of Dr. Peter Steiner, he is funded through an IES project on evaluating the effectiveness of Iowa’s “Authentic Intellectual Work” (AIW) high school program.
Stan is interested in identifying the conditions where causal claims can be made (i.e., causal inference), especially randomized experiments and quasi-experimental designs. This has led to his current research, which concerns the impact of adding propensity score estimation to a quasi-experimental design, specifically, the effect it might have on the sampling variance of the treatment effect. His other interests include graphical models (directed acyclic graphs or “DAGs”) and philosophy of science.